
03_Asymp and Distr
Authored by Ira Simankova
Other
University
Used 3+ times

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6 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 5 pts
What command would you use to visually inspect one continuous variable in Stata?
histogram
sum
scatter plot
tab
2.
MULTIPLE CHOICE QUESTION
45 sec • 5 pts
How many parameters does Chi-squared distribution have?
1
2
3
4
3.
MULTIPLE CHOICE QUESTION
45 sec • 5 pts
What command would you use to generate a normally distributed variable with mean 2 and variance 9?
rnormal(3, 1)
rnormal(2, 3)
normal(2, 3)
rnormal(2, 9)
4.
MULTIPLE CHOICE QUESTION
45 sec • 5 pts
Which distribution has a bell shape?
Uniform (3,5)
Chi-squared (1)
Normal (5, 1)
None of the above
5.
MULTIPLE CHOICE QUESTION
45 sec • 5 pts
You are estimating 400 subsamples from a random variable x which is uniformly distributed between 3 and 5. What could you tell about sampling distribution of the mean?
It is impossible to predict.
It will be chi-squared distributed with mean 3.
It will be uniformly distributed with mean 4.
It will be normally distributed with mean 4.
6.
MULTIPLE CHOICE QUESTION
45 sec • 5 pts
In the previous question, you based your answer on:
On the central limit theorem.
On the law of large numbers.
On the variance of x.
On intuition.
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